# Fixtures _forecaster_equivalent_date
# ==============================================================================

import numpy as np
import pandas as pd

# np.random.seed(123)
# y = np.random.rand(50)
y = pd.Series(
        data = np.array([0.69646919, 0.28613933, 0.22685145, 0.55131477, 0.71946897,
                         0.42310646, 0.9807642 , 0.68482974, 0.4809319 , 0.39211752,
                         0.34317802, 0.72904971, 0.43857224, 0.0596779 , 0.39804426,
                         0.73799541, 0.18249173, 0.17545176, 0.53155137, 0.53182759,
                         0.63440096, 0.84943179, 0.72445532, 0.61102351, 0.72244338,
                         0.32295891, 0.36178866, 0.22826323, 0.29371405, 0.63097612,
                         0.09210494, 0.43370117, 0.43086276, 0.4936851 , 0.42583029,
                         0.31226122, 0.42635131, 0.89338916, 0.94416002, 0.50183668,
                         0.62395295, 0.1156184 , 0.31728548, 0.41482621, 0.86630916,
                         0.25045537, 0.48303426, 0.98555979, 0.51948512, 0.61289453]
            ),
        index=pd.date_range(start='2000-01-01', periods=50, freq='D'),
        name = 'y'
    )
